A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A game theoretic approach to explain the output of any machine learning model.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

An open-source, low-code machine learning library in Python

TensorFlow Tutorials with YouTube Videos

Fast and flexible AutoML with learning guarantees.

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Public repo for DeepLearning.AI MLEP Specialization

Distributed deep learning on Hadoop and Spark clusters.

Python Helper library for Jupyter Notebooks

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

Educational materials on deep learning by Weights & Biases

👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

Tutorials for the Hopsworks Platform

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

Renku provides a platform and tools for reproducible and collaborative data analysis.

A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.

Machine Learning Engineering with Python

Parquet-based ML data format optimized for working with unstructured data

Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops

Hourly Electricity Demand Prediction Service

A JupyterLab extension providing, SQL formatter, auto-completion, syntax highlighting, Spark SQL and Trino

An analysis of cycling counts in Auckland in relation to the weather

O'Reilly book - Building Machine Learning Systems with a feature store: batch, real-time, and LLMs

🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects

🥈 Silver Medal Solution to Kaggle H&M Personalized Fashion Recommendations

Project bike sharing predictor